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Right ventricular failure predicted from right bundle branch block: cardiac magnetic resonance imaging validation

  
@article{CDT10317,
	author = {Santhosh R. Devarapally and Sameer Arora and Ali Ahmad and Mike Sood and Amaar El Sergany and Terrence Sacchi and Barry Saul and Rahul Gaglani and John Heitner},
	title = {Right ventricular failure predicted from right bundle branch block: cardiac magnetic resonance imaging validation},
	journal = {Cardiovascular Diagnosis and Therapy},
	volume = {6},
	number = {5},
	year = {2016},
	keywords = {},
	abstract = {Background: Right ventricular (RV) failure has proven to be independently associated with adverse outcomes. Electrocardiographic parameters assessing RV function are largely unknown, making echocardiography the first line for RV function assessment. It is however, limited by geometrical assumptions and is inferior to cardiac magnetic resonance imaging (CMRI) which is widely regarded as the most accurate tool for assessing RV function.
Methods: We seek to determine the correlation of ECG parameters of right bundle branch block (RBBB) with RV ejection fraction (EF) and RV dimensions using the CMRI. QRS duration, R amplitude and R’ duration were obtained from precordial lead V1; S duration and amplitude were obtained from lead I and AVL. RV systolic dysfunction was defined as RV EF 100 msec to detect RV systolic dysfunction was found to be 93%. R’ duration was found to have an inverse correlation with RV EF (r=−0.49, P=0.007).
Conclusions: Larger RV end systolic volumes seen with RV dysfunction can affect the latter part of right bundle branch leading to prolonged R’ duration. We here found prolonged R’ duration in lead V1 to have a highly specific inverse correlation to RV systolic function. ECG can be used as an inexpensive tool for RV function assessment and should be used alongside echocardiography to evaluate RV dysfunction when CMRI is not available.},
	issn = {2223-3660},	url = {https://cdt.amegroups.org/article/view/10317}
}